£56.50

Cambridge University Press Algorithmic Aspects of Machine Learning

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£58.84 £51.39 £53.02 £54.64 £56.27 £57.89 £59.52 01 October 2025 03 November 2025 06 December 2025 08 January 2026 10 February 2026

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Description

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
27 September 2018
Listed Since
01 February 2018

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